 
In this section, we experimentally prove that ADC is more suitable to human pose estimation than deformable convolution (DC) [1]} and scale-adaptive convolution (SAC) [2]}. Comparative experiments are performed on SimpleBaseline-Res50. As shown in Table REF , although DC can bring an improvement on the baseline, its performance is inferior to that of ADC. As we have discussed in Sec REF , the unconstrained and independent offsets of DC may cause the input and output feature maps to lose their spatial correspondence, which potentially hurt the accuracy of location. SAC can alleviate the size inconsistent along spatial dimensions, but involves little multi-scale fusion along the channel dimension, which is more important in HPE. Consequently, the improvement of SAC is lower than both DC and ADC.
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